John Mugamba

1.3k citations
28 papers · 936 · h-index 16

Impact in

Papers in

John Mugamba

26 papers receiving 914 citations

Peers

John Mugamba
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 588
  • Pediatrics, Perinatology and Child Health 314
  • Public Health, Environmental and Occupational Health 218
  • Neurology 93
  • Genetics 47
Replace Peter Kato Ssenyonga with:
Peter Kato Ssenyonga United States
Ferdinando Aliberti Italy
Mostafa El Khashab Iran
Esther L. Wylen United States
Iman Feiz-Erfan United States
A. García Allut Spain
Pamir Erdinçler Türkiye
Chiara Doneda Italy
María-José Almagro Spain
Jaime Gerardo Torres-Corzo Mexico
John Mugamba relative to Peter Kato Ssenyonga United States Peter Kato Ssenyonga's profile →
Citations per field
00.5×2×3×4×4.8×
Peter Kato Ssenyonga · 1×
Citations per year

Countries citing papers authored by John Mugamba

Since Specialization
Citations

This map shows the geographic impact of John Mugamba's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Mugamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mugamba more than expected).

Fields of papers citing papers by John Mugamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Mugamba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Mugamba. The network helps show where John Mugamba may publish in the future.

Co-authors

The 25 scholars most cited alongside John Mugamba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Mugamba Line = papers co-authored together John Mugamba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010126
2 2017121
3 2012101
4 201171
5 201058
6 201457
7 201357
8 201541
9 201239
10 201038
11 201735
12 202034
13 201330
14 201226
15 202122
16 202016
17 201915
18 20149
19 20199
20 20238

About John Mugamba

John Mugamba is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Periodontics and Clinical Biochemistry, having authored 28 papers that have together received 936 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (13 papers), Fetal and Pediatric Neurological Disorders (4 papers), Pediatric Urology and Nephrology Studies (1 paper), Global Health and Surgery (1 paper), Neonatal and Maternal Infections (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Neonatal and fetal brain pathology (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (588 citations), Pediatrics, Perinatology and Child Health (314 citations), Public Health, Environmental and Occupational Health (218 citations), Neurology (93 citations) and Genetics (47 citations). John Mugamba has collaborated with scholars based in United States, Canada and Uganda. Frequent co-authors include Benjamin Curtis Warf, Abhaya Vivek Kulkarni, Peter Kato Ssenyonga, Vita Stagno, Sarah A. Tracy, Michael Christopher Dewan, Steven J. Schiff, Venkateswararao Cherukuri, Vishal Monga and Ruth Donnelly. Their work appears in journals such as Journal of Neurosurgery Pediatrics, Neurosurgery, Child s Nervous System, The Lancet Microbe and International Journal of Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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